Doina Precup
Google (United States)(US)Mila - Quebec Artificial Intelligence Institute(CA)McGill University(CA)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Machine Learning and Algorithms, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Evolutionary Algorithms and Applications
Most-Cited Works
- → The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)(2014)6,262 cited
- → Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning(1999)3,080 cited
- → Deep Reinforcement Learning That Matters(2018)1,461 cited
- → Fast gradient-descent methods for temporal-difference learning with linear function approximation(2009)528 cited
- Eligibility Traces for Off-Policy Policy Evaluation(2000)
- → Deep learning, reinforcement learning, and world models(2022)456 cited
- → Reward is enough(2021)376 cited